This document provides an advanced approach of integrating human factors issues into ATM design and training by providing a predictive approach for cognitive human aspects. The approach distinguishes between defining the cognitive demands of the interface (levels of automation), the cognitive aspects of ATM and required ATM functions. The approach was validated with a datalink experiment and the predictive results are presented as well as the detailed taxonomies used for prediction.